Tensor Machines is building the intelligence layer for AI infrastructure
Tensor Machines is building the intelligence layer for AI infrastructure. Our foundation models optimize across the AI stack from physics of silicon, to kernel and inference engine to get more AI output from every GPU and every megawatt. Our technology combines physics-informed models, hardware telemetry, and workload benchmarking to understand how silicon, power, cooling, and software interact under operating conditions. We use that understanding to guide workload placement, performance tuning, and corrective action, helping improve throughput, anticipate hardware degradation, meet service targets, and reduce cost per token. Our open-source benchmark, TensorBench, measures real-world AI performance, physical hardware behavior, and workload economics. It gives infrastructure teams the evidence they need to optimize existing fleets, compare hardware for specific workloads, and make better purchasing decisions. We are working toward a future where AI infrastructure continuously adapts to the workloads it serves, delivering more productive compute and extending the useful life of the hardware behind it.